|
English
|
正體中文
|
简体中文
|
2875227
|
|
???header.visitor??? :
54109880
???header.onlineuser??? :
5153
???header.sponsordeclaration???
|
|
|
|
???tair.name??? >
???browser.page.title.title???
|
Showing items 918176-918185 of 2351361 (235137 Page(s) Totally) << < 91813 91814 91815 91816 91817 91818 91819 91820 91821 91822 > >> View [10|25|50] records per page
| 元智大學 |
2012-02 |
Volatility forecasting by quantile regression
|
Alex YiHou Huang |
| 元智大學 |
2011-04 |
Volatility forecasting in emerging markets with application of stochastic volatility model
|
Alex YiHou Huang |
| 元智大學 |
2011-10 |
Volatility forecasting of exchange rate by quantile regression
|
Alex YiHou Huang; Sheng-Pen Peng; Fangjhy Li; Ching-Jie Ke |
| 元智大學 |
2009-12 |
Volatility forecasting of real exchange rate by quantile regression
|
黃宜侯; Sheng-Pen Peng; Fangjhy Li; Ching-Jie Ke |
| 元智大學 |
2009-12 |
Volatility forecasting of real exchange rate by quantile regression
|
黃宜侯; Sheng-Pen Peng; Fangjhy Li; Ching-Jie Ke |
| 朝陽科技大學 |
2011-12 |
Volatility Forecasting of Stock-Market Index- An Intelligent Approach with Neuro-Fuzzy Computing and Swarm Intelligence
|
Chunshien Li; Hsueh-Yen Lu |
| 臺大學術典藏 |
2010 |
Volatility Forecasting Performance of Range-based and Return-based Model: An Empirical Analysis of Taiwan Stock Index
|
Hung , J. C.; Wang, Chuan-San; Jiang, I. M.; Hung , J. C.; Wang, Chuan-San; Jiang, I. M. |
| 國立臺灣大學 |
2010 |
Volatility Forecasting Performance of Range-based and Return-based Model: An Empirical Analysis of Taiwan Stock Index
|
Hung , J. C.; Wang, Chuan-San; Jiang, I. M. |
| 國立臺灣大學 |
2010 |
Volatility Forecasting Performance of Range-based and Return-based Model: An Empirical Analysis of Taiwan Stock Index.
|
Hung, J.C.; Wang, Chuan-San; Jiang, I.M. |
| 元智大學 |
Nov-14 |
Volatility Forecasts: Do Volatility Estimators and Evaluation Methods Matter
|
I-Ming Jiang; Jui-Cheng Hung; Chuan-San Wang |
Showing items 918176-918185 of 2351361 (235137 Page(s) Totally) << < 91813 91814 91815 91816 91817 91818 91819 91820 91821 91822 > >> View [10|25|50] records per page
|